{"id":106732,"url":"https://alion.io/job/zendesk-staff-data-platform-engineer","title":"Staff Software Engineer - Data Platform","company":{"id":369,"name":"Zendesk","domain":"zendesk.com","url":"https://alion.io/company/zendesk","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":27,"ghost_share":0,"stale_share":0.63,"repost_share":0.037,"time_to_fill_p50_days":27,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":114000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Dagster","optional":true},{"name":"Datadog","optional":true},{"name":"dbt","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-03-19T00:00:00Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-21T15:57:22Z","board_verified":true,"closed_at":null,"days_open":216,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":216},"description":"Job Description\nWhat we are looking for:\nOur Enterprise Data & Analytics (EDA) is looking for an experienced Staff Data Platform Engineer to join our growing Platform engineering team. You’ll work in a collaborative Agile environment, driving innovations in data infrastructure that not only powers advanced analytics but also lays the foundation for AI and machine learning integration across Zendesk’s data platform.\nAbout the team:\nWe are a newly formed Data Platform Team here in Pune dedicated to developing and maintaining Zendesk’s data platform that powers next-generation reporting and analytics across the product portfolio. As a Staff Data Platform Engineer, you will work on designing and developing advanced data infrastructure that power the Zendesk Data Platform.\nData is at the heart of Zendesk’s business-this is a high-impact, high-ownership role with broad technical and organizational influence.\nWhat you get to do every single day\nLead architecture and roadmap\nDefine and evolve the end-to-end data platform architecture across ingestion, transformation, storage and governance.\n\nEstablish standardized data contracts, schemas, documentation, and tooling that improve consistency and reduce time-to-data for analytics and product teams.\n\nLead build-vs-buy evaluations and pilot new technologies to improve reliability, speed, or cost.\n\nDeliver platform capabilities at scale\nDesign and deliver secure, and highly-available data services and pipelines handling large-scale, mission-critical workloads.\n\nOwn, operate, and scale our core orchestration platform (Astronomer / Apache Airflow), optimizing performance, deployment workflows, and infrastructure costs\n\nRaise the engineering bar\nDefine standards for data modeling, testing (unit/integration/contract), CI/CD, Infrastructure as Code, and code quality; champion reproducibility and reliability.\n\nConduct deep root cause analyses; drive systemic fixes that improve resilience and developer experience.\n\nWhat you bring to the role\nBasic qualifications\n10+ years of total software/data engineering background, with 3+ years dedicated to Platform Engineering or Data Infrastructure.\n\n3+ years leading complex, cross-team architecture and infrastructure initiatives at a Staff level.\n\nHands-on technical expertise designing, provisioning, and managing cloud environments on any of the public clouds like AWS, GCP, Azure (We primarily use AWS)\n\nExperience with infrastructure automation tools like Terraform, CloudFormation, etc. (we primarily use Terraform)\n\nProven track record designing and automating robust CI/CD pipelines using tools like, Github Actions , Jenkins. (We primarily use Github actions)\n\nIntermediate level experience with at least one of the programming languages: Python, Go, Java, Scala. (we primarily use Python)\n\nWorking knowledge of Docker.\n\nIntermediate level experience with SQL\n\nExperience implementing monitoring and observability frameworks (preferably for data pipelines)\n\nA demonstrated willingness to learn and adapt to new technologies and tools.\n\nStrong communication skills, both written and verbal - you’ll be collaborating closely with people in multiple time zones.\n\nAbility to work independently and in a team, with a proactive approach to improving developer experience and engineering processes.\n\nPreferred qualifications\n3+ years of experience building & maintaining scalable data infrastructure with strong focus on automation and reliability\n\nInterest / Experience in building developer-facing automation agents, internal CLI tools, or platform productivity integrations.\n\nExperience ‘managing’ ETL orchestration platforms such as Airflow, Dagster, etc. (we primarily use Airflow)\n\nFamiliarity with dbt (Data build tool), used for building data pipelines\n\nFamiliarity with Data Governance and security compliance best practices\n\nWhat does our stack look like\nInfrastructure (AWS, Docker, Terraform)\n\nCICD (Github Actions)\n\nData Pipeline and Orchestration (Snowflake, dbt, Astronomer Managed Airflow)\n\nMonitoring and Observability (DataDog, MonteCarlo)\n\nPlease note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based.\nHybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.\nThe intelligent heart of customer experience\nZendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.\nZendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.\nAs part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.\nZendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.\nZendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to  with your specific accommodation request.","description_format":"text","description_chars":6593,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["CRM Software","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-03-19T00:00:00Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.363,"p_room":0.28,"age_days":216,"expected_fill_days":27,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/zendesk-staff-data-platform-engineer","json_url":"https://alion.io/job/zendesk-staff-data-platform-engineer.json","meta":{"generated_at":"2026-10-21T18:55:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26779,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":369},"rest":"https://alion.io/mcp/rest/get_company?id=369"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzendesk-staff-data-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzendesk-staff-data-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzendesk-staff-data-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zendesk-staff-data-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzendesk-staff-data-platform-engineer"}]}